keras-attention and attention_keras
These are **competitors** — both provide Keras implementations of attention mechanisms (Luong and Bahdanau scoring variants) for sequential models, serving the same purpose with largely overlapping functionality.
About keras-attention
philipperemy/keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
Implements both multiplicative (Luong) and additive (Bahdanau) attention mechanisms as a reusable Keras layer compatible with TensorFlow 2.0+, enabling dynamic focus on sequence elements. The layer accepts 3D sequential input and outputs attention-weighted context vectors, integrating seamlessly into RNN/LSTM architectures for tasks like machine translation and document classification. Includes model serialization support and visualization capabilities for interpreting attention weights across timesteps.
About attention_keras
thushv89/attention_keras
Keras Layer implementation of Attention for Sequential models
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